Design of a Multiepitope-Based Peptide Vaccine against the E Protein of Human COVID-19: An Immunoinformatics Approach
المؤلفون المشاركون
Shantier, Shaza W.
Abdelmageed, Miyssa I.
Abdelmoneim, Abdelrahman H.
Mustafa, Mujahed I.
Elfadol, Nafisa M.
Murshed, Naseem S.
Makhawi, Abdelrafie M.
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-11
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Background.
A new endemic disease has spread across Wuhan City, China, in December 2019.
Within few weeks, the World Health Organization (WHO) announced a novel coronavirus designated as coronavirus disease 2019 (COVID-19).
In late January 2020, WHO declared the outbreak of a “public-health emergency of international concern” due to the rapid and increasing spread of the disease worldwide.
Currently, there is no vaccine or approved treatment for this emerging infection; thus, the objective of this study is to design a multiepitope peptide vaccine against COVID-19 using an immunoinformatics approach.
Method.
Several techniques facilitating the combination of the immunoinformatics approach and comparative genomic approach were used in order to determine the potential peptides for designing the T-cell epitope-based peptide vaccine using the envelope protein of 2019-nCoV as a target.
Results.
Extensive mutations, insertion, and deletion were discovered with comparative sequencing in the COVID-19 strain.
Additionally, ten peptides binding to MHC class I and MHC class II were found to be promising candidates for vaccine design with adequate world population coverage of 88.5% and 99.99%, respectively.
Conclusion.
The T-cell epitope-based peptide vaccine was designed for COVID-19 using the envelope protein as an immunogenic target.
Nevertheless, the proposed vaccine rapidly needs to be validated clinically in order to ensure its safety and immunogenic profile to help stop this epidemic before it leads to devastating global outbreaks.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abdelmageed, Miyssa I.& Abdelmoneim, Abdelrahman H.& Mustafa, Mujahed I.& Elfadol, Nafisa M.& Murshed, Naseem S.& Shantier, Shaza W.…[et al.]. 2020. Design of a Multiepitope-Based Peptide Vaccine against the E Protein of Human COVID-19: An Immunoinformatics Approach. BioMed Research International،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1132663
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abdelmageed, Miyssa I.…[et al.]. Design of a Multiepitope-Based Peptide Vaccine against the E Protein of Human COVID-19: An Immunoinformatics Approach. BioMed Research International No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1132663
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abdelmageed, Miyssa I.& Abdelmoneim, Abdelrahman H.& Mustafa, Mujahed I.& Elfadol, Nafisa M.& Murshed, Naseem S.& Shantier, Shaza W.…[et al.]. Design of a Multiepitope-Based Peptide Vaccine against the E Protein of Human COVID-19: An Immunoinformatics Approach. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1132663
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1132663
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر